Understanding the Impacts of Online Mental Health Peer Support Forums: Realist Synthesis.

BACKGROUND: Online forums are widely used for mental health peer support. However, evidence of their safety and effectiveness is mixed. Further research focused on articulating the contexts in which positive and negative impacts emerge from forum use is required to inform innovations in implementation. OBJECTIVE: This study aimed to develop a realist program theory to explain the impacts of online mental health peer support forums on users. METHODS: We conducted a realist synthesis of literature published between 2019 and 2023 and 18 stakeholder interviews with forum staff. RESULTS: Synthesis of 102 evidence sources and 18 interviews produced an overarching program theory comprising 22 context-mechanism-outcome configurations. Findings indicate that users' perceptions of psychological safety and the personal relevance of forum content are foundational to ongoing engagement. Safe and active forums that provide convenient access to information and advice can lead to improvements in mental health self-efficacy. Within the context of welcoming and nonjudgmental communities, users may benefit from the opportunity to explore personal difficulties with peers, experience reduced isolation and normalization of mental health experiences, and engage in mutual encouragement. The program theory highlights the vital role of moderators in creating facilitative online spaces, stimulating community engagement, and limiting access to distressing content. A key challenge for organizations that host mental health forums lies in balancing forum openness and anonymity with the need to enforce rules, such as restrictions on what users can discuss, to promote community safety. CONCLUSIONS: This is the first realist synthesis of online mental health peer support forums. The novel program theory highlights how successful implementation depends on establishing protocols for enhancing safety and strategies for maintaining user engagement to promote forum sustainability. TRIAL REGISTRATION: PROSPERO CRD42022352528; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=352528.

Patterns of resilient functioning in early life: Identifying distinct groups and associated factors.

Resilience, the capacity to maintain or regain functionality in the face of adversity, is a dynamic process influenced by individual, familial, and community factors. Despite its variability, distinct resilience trajectories can be identified within populations, yet the predictors defining these distinct groups remains largely unclear. Here, using data from the Avon Longitudinal Study of Parents and Children (ages 0-18), we quantify resilience as the remaining variance in psychosocial functioning after taking into account the exposure to adversity. Growth mixture modeling identified seven distinct resilience trajectories, with over half of the study population maintaining resilience throughout early life. Factors increasing the likelihood of resilient trajectory membership included a less emotional temperament, high cognitive abilities, high self-esteem, low levels of autistic social traits, strong sibling relationships, high maternal care, and positive school experiences. Among the socioeconomic factors considered, maternal education - a significant indicator of socioeconomic status - and birth-order were associated with resilient trajectories. Our findings underscore the importance of fostering cognitive abilities, self-esteem, social relationships, positive school experiences, and extracurricular engagement to bolster resilience in adversity-exposed individuals and communities. This research informs resilience-focused interventions in mental health, education, and social policy sectors, and prompts further exploration of socioeconomic influences on resilience trajectories.

Improving Peer Online Forums (iPOF): protocol for a realist evaluation of peer online mental health forums to inform practice and policy.

INTRODUCTION: Peer online mental health forums are commonly used and offer accessible support. Positive and negative impacts have been reported by forum members and moderators, but it is unclear why these impacts occur, for whom and in which forums. This multiple method realist study explores underlying mechanisms to understand how forums work for different people. The findings will inform codesign of best practice guidance and policy tools to enhance the uptake and effectiveness of peer online mental health forums. METHODS AND ANALYSIS: In workstream 1, we will conduct a realist synthesis, based on existing literature and interviews with approximately 20 stakeholders, to generate initial programme theories about the impacts of forums on members and moderators and mechanisms driving these. Initial theories that are relevant for forum design and implementation will be prioritised for testing in workstream 2.Workstream 2 is a multiple case study design with mixed methods with several online mental health forums differing in contextual features. Quantitative surveys of forum members, qualitative interviews and Corpus-based Discourse Analysis and Natural Language Processing of forum posts will be used to test and refine programme theories. Final programme theories will be developed through novel triangulation of the data.Workstream 3 will run alongside workstreams 1 and 2. Key stakeholders from participating forums, including members and moderators, will be recruited to a Codesign group. They will inform the study design and materials, refine and prioritise theories, and codesign best policy and practice guidance. ETHICS AND DISSEMINATION: Ethical approval was granted by Solihull Research Ethics Committee (IRAS 314029). Findings will be reported in accordance with RAMESES (Realist And MEta-narrative Evidence Syntheses: Evolving Standards) guidelines, published as open access and shared widely, along with codesigned tools. TRIAL REGISTRATION NUMBER: ISRCTN 62469166; the protocol for the realist synthesis in workstream one is prospectively registered at PROSPERO CRD42022352528.

Investigating ethnic inequalities in hearing aid use in England and Wales: a cross-sectional study.

OBJECTIVE: To establish whether ethnic inequalities exist in levels of self-reported hearing difficulty and hearing aid use among middle-aged adults. DESIGN: Cross-sectional data from the UK Biobank resource. STUDY SAMPLE: 164,460 participants aged 40-69 who answered hearing questions at an assessment centre in England or Wales. RESULTS: After taking into account objectively assessed hearing performance and a corresponding correction for bias in non-native English speakers, as well as a range of correlates including demographic, socioeconomic, and health factors, there were lower levels of hearing aid use for people from Black African (OR 0.36, 95% CI 0.17-0.77), Black Caribbean (OR 0.38, 95% CI 0.22-0.65) and Indian (OR 0.60, 95% CI 0.41-0.86) ethnic groups, compared to the White British or Irish group. Men from most ethnic minority groups and women from Black African, Black Caribbean and Indian groups were less likely to report hearing difficulty than their White British or Irish counterparts. CONCLUSIONS: For equivalent levels of hearing loss, the use of hearing aids is lower among ethnic minority groups. Inequalities are partly due to lower levels of self-reported hearing difficulty among minority groups. However, even when self-reported hearing difficulty is considered, hearing aid use remains lower among many ethnic minority groups.

Attitudes to climate change risk: classification of and transitions in the UK population between 2012 and 2020.

Strategies for achieving carbon emissions goals presuppose changes in individual behaviour, which can be indirectly nudged by interventions or tailored information but ultimately depend upon individual attitudes. Specifically, the perception that climate change is low risk has been identified as a barrier to participation in climate change adaptation and mitigation efforts. Therefore, understanding public attitudes towards climate change risk is an important element of reducing emissions. We applied k-means cluster analysis to explore attitudes to climate change risk in the UK population using data from the UK Household Longitudinal Study, a national survey running from 2009 to present. We identified three distinct attitude clusters: "Sceptical", "Concerned", and "Paradoxical" in both waves 4 (from 2012 to 2014) and 10 (from 2018 to 2020) of this survey. The Sceptical cluster tended to deny the seriousness of climate change and the urgency or even the necessity of dealing with it. The Concerned cluster displayed anxiety about climate change risks and supported action to reduce them. The Paradoxical cluster acknowledged the reality of climate change impacts but did not support actions to mitigate them. We further observed statistical associations between cluster membership and the social characteristics of the participants, including sex, age, income, education, and political affiliation. We also found a temporal stability of cluster structure between the two waves. However, the transition matrices indicated a general transition away from the Sceptical and Paradoxical clusters, and toward the Concerned cluster between wave 4 to wave 10. The findings suggest that more tailored public information campaigns regarding climate change risk may be necessary.

Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning.

BACKGROUND: Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate the utility of three complementary methods for predicting LoS using UK national- and hospital-level data. METHOD: On a national scale, relevant patients were identified from the COVID-19 Hospitalisation in England Surveillance System (CHESS) reports. An Accelerated Failure Time (AFT) survival model and a truncation corrected method (TC), both with underlying Weibull distributions, were fitted to the data to estimate LoS from hospital admission date to an outcome (death or discharge) and from hospital admission date to Intensive Care Unit (ICU) admission date. In a second approach we fit a multi-state (MS) survival model to data directly from the Manchester University NHS Foundation Trust (MFT). We develop a planning tool that uses LoS estimates from these models to predict bed occupancy. RESULTS: All methods produced similar overall estimates of LoS for overall hospital stay, given a patient is not admitted to ICU (8.4, 9.1 and 8.0 days for AFT, TC and MS, respectively). Estimates differ more significantly between the local and national level when considering ICU. National estimates for ICU LoS from AFT and TC were 12.4 and 13.4 days, whereas in local data the MS method produced estimates of 18.9 days. CONCLUSIONS: Given the complexity and partiality of different data sources and the rapidly evolving nature of the COVID-19 pandemic, it is most appropriate to use multiple analysis methods on multiple datasets. The AFT method accounts for censored cases, but does not allow for simultaneous consideration of different outcomes. The TC method does not include censored cases, instead correcting for truncation in the data, but does consider these different outcomes. The MS method can model complex pathways to different outcomes whilst accounting for censoring, but cannot handle non-random case missingness. Overall, we conclude that data-driven modelling approaches of LoS using these methods is useful in epidemic planning and management, and should be considered for widespread adoption throughout healthcare systems internationally where similar data resources exist.

Length of Stay in ICU of Covid-19 patients in England, March - May 2020.

INTRODUCTION: Length of Stay (LoS) in Intensive Care Units (ICUs) is an important measure for planning beds capacity during the Covid-19 pandemic. However, as the pandemic progresses and we learn more about the disease, treatment and subsequent LoS in ICU may change. OBJECTIVES: To investigate the LoS in ICUs in England associated with Covid-19, correcting for censoring, and to evaluate the effect of known predictors of Covid-19 outcomes on ICU LoS. DATA SOURCES: We used retrospective data on Covid-19 patients, admitted to ICU between 6 March and 24 May, from the "Covid-19 Hospitalisation in England Surveillance System" (CHESS) database, collected daily from England's National Health Service, and collated by Public Health England. METHODS: We used Accelerated Failure Time survival models with Weibull and log-normal distributional assumptions to investigate the effect of predictors, which are known to be associated with poor Covid-19 outcomes, on the LoS in ICU. RESULTS: Patients admitted before 25 March had significantly longer LoS in ICU (mean = 18.4 days, median = 12), controlling for age, sex, whether the patient received Extracorporeal Membrane Oxygenation, and a co-morbid risk factors score, compared with the period after 7 April (mean = 15.4, median = 10). The periods of admission reflected the changes in the ICU admission policy in England. Patients aged 50-65 had the longest LoS, while higher co-morbid risk factors score led to shorter LoS. Sex and ethnicity were not associated with ICU LoS. CONCLUSIONS: The skew of the predicted LoS suggests that a mean LoS, as compared with median, might be better suited as a measure used to assess and plan ICU beds capacity. This is important for the ongoing second and any future waves of Covid-19 cases and potential pressure on the ICU resources. Also, changes in the ICU admission policy are likely to be confounded with improvements in clinical knowledge of Covid-19.

Understanding ethnic inequalities in hearing health in the UK: a cross-sectional study of the link between language proficiency and performance on the Digit Triplet Test.

INTRODUCTION: Research using the UK Biobank data has shown ethnic inequalities in hearing health; however, the hearing test used may exhibit a disadvantage for non-native language speakers. OBJECTIVES: To validate the results of the UK Biobank hearing test (Digit Triplet Test, DTT) against self-reported measures of hearing in the dataset and create classifications of hearing health. To observe if language proficiency and migration age have the same effect on hearing health classification as on the DTT in isolation. Our hypothesis is that language proficiency acts differently on the DTT, demonstrating that the DTT is biased for non-native speakers of English. DESIGN: Latent classes representing profiles of hearing health were identified from the available hearing measures. Factors associated with class membership were tested using multinomial logistic regression models. Ethnicity was defined as (1) White, native English-speaking, (2) ethnic minority, arrived in the UK aged <12 or (3) ethnic minority, arrived aged >12. PARTICIPANTS: The UK Biobank participants with valid hearing test results and associated covariates (N=151 268). OUTCOME MEASURES: DTT score, self-reported hearing difficulty, self-reported hearing difficulty in noise and hearing aid use. RESULTS: Three classes of hearing health were found: 'normal', 'generally poor' and 'only subjectively poor'. In a model adjusting for known confounders of hearing loss, a poor or insufficient hearing test result was less likely for those with better language (OR 0.69, 95% CI 0.65 to 0.74) or numerical ability (OR 0.71, 95% CI 0.67 to 0.75) but more likely for those having migrated aged >12 (OR 3.85, 95% CI 3.64 to 4.07). CONCLUSIONS: The DTT showed evidence of bias, having greater dependence on language ability and migration age than other hearing indicators. Designers of future surveys and hearing screening applications may wish to consider the limitations of speech-in-noise tests in evaluating hearing acuity for populations that include non-native speakers.

Is cognitive behavioural therapy effective for individuals experiencing thought disorder?

Various clinical guidelines recommend cognitive behavioural therapy (CBT) to treat psychosis without reference to patients' thought disorder. However, there is a risk that disorganized thinking hampers CBT. We tested the prediction that thought disorder would interfere with the effectiveness of CBT for hallucinations and delusions, compared to treatment as usual and supportive counselling, in secondary data from two large, single blind randomised controlled trials. We fitted latent growth curve models separately for the development of frequency and distress of symptoms. CBT was significantly more successful than counselling in reducing delusional frequency in the short term and hallucinatory distress at any point, even in those with relatively high thought disorder. We found little evidence that clinicians should restrict CBT in this subgroup of patients. Nevertheless, the findings highlight the importance of effective initial treatment of thought disorder in maximising the benefit of CBT for psychosis, particularly for reducing distress from hallucinations.

Distress related to psychotic symptoms in individuals at high risk of psychosis.

This study assessed the relationship between distress, severity and frequency of attenuated psychotic symptoms in individuals meeting Ultra High Risk (UHR) criteria, both at baseline and over time. It also assessed distress in relation to attenuated symptoms and whether cognitive behavioural therapy (CBT) reduced distress over time by symptom type. At baseline a combined total of 592 UHR participants (mean age 19.9; males, 53.9%) from two studies were assessed using a confirmatory factor analysis (CFA). Change over time from this baseline point was assessed using latent growth curve (LGC) models, based on participants from one of the studies. Distress associated with psychotic symptom was shown to be a separate psychological construct from severity and frequency. Distress was also significantly associated with severity but not frequency. Longitudinal LGC models with 244 participants showed that distress, severity and frequency all reduced over six months, although the rate of distress reduction varied across symptom type. Non-bizarre ideas (NBI) were more distressing and had the fastest rate of distress reduction over time. The baseline distress for some symptoms also strongly predicted the symptom severity change over time, suggesting that distress may cause change in the UHR criteria for unusual thought content (UTC) and NBI symptoms. CBT was not shown to be significantly different from treatment as usual (TAU) in its effect on distress. However, distress reduces over time, particularly in the first 3 months after presentation. We recommend that distress should be used as an outcome in future research and as a clinical indicator. (250 words).

Older People Living Well Beyond Cancer: The Relationship Between Emotional Support and Quality of Life.

Objective: To investigate the influence of emotional support on the quality of life (QoL) of older cancer survivors. Method: We use data from the English Longitudinal Study of Ageing to assess the relationship between perceived emotional support and QoL, comparing people who were cancer survivors (n = 533) to people without cancer (n = 8,203). Results: Most people reported high emotional support and had good QoL (M = 42.57, scale = 0-57). However, linear regression modeling showed cancer survivors had on average slightly lower QoL (-2.10 SE = 0.82). Those who reported having low support reported much poorer QoL; this relationship was similar for both cancer survivors and people without cancer. Discussion: The impact of low emotional support on QoL compounds with the independent detrimental effect of being a cancer survivor. Interventions that increase emotional support are likely to improve QoL for cancer survivors.

Longitudinal predictors of subjective recovery in psychosis.

BACKGROUND: Research has highlighted the importance of recovery as defined by the service user, and suggests a link to negative emotion, although little is known about the role of negative emotion in predicting subjective recovery. AIMS: To investigate longitudinal predictors of variability in recovery scores with a focus on the role of negative emotion. METHOD: Participants (n = 110) with experience of psychosis completed measures of psychiatric symptoms, social functioning, subjective recovery, depression, hopelessness and self-esteem at baseline and 6 months later. Path analysis was used to examine predictive factors for recovery and negative emotion. RESULTS: Subjective recovery scores were predicted by negative emotion, positive self-esteem and hopelessness, and to a lesser extent by symptoms and functioning. Current recovery score was not predicted by past recovery score after accounting for past symptoms, current hopelessness and current positive self-esteem. CONCLUSIONS: Psychosocial factors and negative emotion appear to be the strongest longitudinal predictors of variation in subjective recovery, rather than psychiatric symptoms.

Psychosocial and neuropsychiatric predictors of subjective recovery from psychosis.

Research suggests that both psychosocial factors and neuropsychiatric factors are important predictors of outcome, but little research has examined their relative importance to self-rated recovery. We aim to investigate how such factors are associated with subjective judgements of recovery from psychosis. The participants comprised 122 individuals with experience of psychosis who completed measures of perceived recovery, as well as measures of psychological factors (including self-esteem, locus of control, and emotion) and psychiatric factors (including psychotic symptoms, neurocognition and insight). Measurement models developed using confirmatory factor analysis supported a hypothesis of separate recovery and negative emotion factors. Structural equation modelling showed that negative emotion and internal locus of control had a direct influence on self-rated recovery, and that positive symptoms and internal locus of control had an indirect effect on recovery, mediated via negative emotion. There did not appear to be any effect of insight, negative symptoms or neurocognitive functioning on either self-rated recovery or negative emotion. Psychosocial factors are more directly related to perceived recovery than neuropsychiatric factors. The implications of these findings are discussed.

Mood variability predicts the course of suicidal ideation in individuals with first and second episode psychosis.

Suicide risk is high in early psychosis. Recent research has suggested that mood variability may be associated with levels of suicidal thoughts and behaviour. This has not been investigated in individuals during and following a first or second episode of non-affective psychosis. Repeated-measures data over 18 months from a large randomised controlled trial for cognitive behaviour therapy (N=309) were analysed using latent growth curve modelling, whereby both the variability and the level of depression, anxiety and guilt were entered as predictors of suicidality. The variability of depression, but not guilt and anxiety, predicted the course of suicidality even when controlling for a large range of potential confounders. The level of depression, anxiety and guilt for each participant also strongly predicted the development of suicidality. The findings support the theory that variability in depression may contribute to the formation of suicidal ideation and related behaviour. More variable depression may be harder to predict and intervene against, and therefore increase the likelihood that suicidality escalates. The levels of emotions may also be an important determinant. This has implications for the treatment and assessment of suicidality in early psychosis.

Making sense of theory of mind and paranoia: the psychometric properties and reasoning requirements of a false belief sequencing task.

INTRODUCTION. This study used Item-Response Theory (IRT) to model the psychometric properties of a false belief picture sequencing task. Consistent with the mental time travel hypothesis of paranoia, we anticipated that performance on this deductive theory of mind (ToM) task would not be associated with the presence of persecutory delusions but would be related to other clinical, cognitive, and demographic factors. METHOD. A large (N=237) and diverse clinical and nonclinical sample differing in levels of depression and paranoid ideation performed 2 ToM tasks: the false belief sequencing task and a ToM stories task that was used to assess the validity of the false belief sequencing task as a measure of ToM. RESULTS. A unidimensional IRT model was found to fit the data well. Latent ToM ability as measured by the false belief sequencing task was negatively related with age and positively with IQ. In contrast to the ToM stories measure, there was no association between clinical diagnosis or symptoms and false belief picture sequencing after controlling for age and IQ. CONCLUSIONS. In line with mental time travel hypothesis of paranoia (Corcoran, 2010 ), performance on this deductive nonverbal ToM task is not related to the presence of paranoid symptoms. This measure is best suited for assessing ToM functioning where participants' performance falls just short of the average latent ToM ability. Furthermore, it is sensitive to the effects of increasing age and decreasing IQ.

The QCAE: a Questionnaire of Cognitive and Affective Empathy.

Empathy has been inconsistently defined and inadequately measured. This research aimed to produce a new and rigorously developed questionnaire. Exploratory (n1 = 640) and confirmatory (n2 = 318) factor analyses were employed to develop the Questionnaire of Cognitive and Affective Empathy (QCAE). Principal components analysis revealed 5 factors (31 items). Confirmatory factor analysis confirmed this structure in an independent sample. The hypothesized 2-factor structure (cognitive and affective empathy) was tested and provided the best and most parsimonious fit to the data. Gender differences, convergent validity, and construct validity were examined. The QCAE is a valid tool for assessing cognitive and affective empathy.

The persecution and deservedness scale.

OBJECTIVES: To design a brief measure to assess both the severity of paranoid thinking and the perceived deservedness of persecution, which can be employed in clinical and non-clinical populations. BACKGROUND: No existing measure is adequate for these purposes. METHODS: In Study 1, we selected 10 items for a persecution and deservedness scale (PaDS) using data from 318 UK and 290 Portuguese undergraduate students, who also completed the Beck Depression Inventory and the Fenigstein's Paranoia Scale. In Study 2, we made comparisons between 45 clinical participants with a diagnosis of schizophrenia, schizoaffective disorder or delusional disorder and the UK students from Study 1. The psychometric properties of the PaDS were analysed for separate persecution (P) and deservedness (D) subscales. RESULTS: The 10-item PaDS subscales were internally reliable for both clinical and student samples. Correlations with other measures of depressive mood and paranoid thinking indicate that the P subscale has concurrent validity. Higher P and D scores were observed in UK students compared to Portuguese students. The clinical participants' P scores subscale were significantly higher than the students' scores but their D scores were lower. CONCLUSIONS: The PaDS is a reliable and valid measure of paranoid thinking and perceived deservedness of persecution, which is sensitive for use in clinical and non-clinical populations. Paranoid thinking appears to be mainly bad-me in non-clinical groups but poor-me in psychotic psychiatric patients.

The cognitive and affective structure of paranoid delusions: a transdiagnostic investigation of patients with schizophrenia spectrum disorders and depression.

CONTEXT: Paranoid delusions are a common symptom of a range of psychotic disorders. A variety of psychological mechanisms have been implicated in their cause, including a tendency to jump to conclusions, an impairment in the ability to understand the mental states of other people (theory of mind), an abnormal anticipation of threat, and an abnormal explanatory style coupled with low self-esteem. OBJECTIVE: To determine the structure of the relationships among psychological mechanisms contributing to paranoia in a transdiagnostic sample. DESIGN: Cross-sectional design, with relationships between predictor variables and paranoia examined by structural equation models with latent variables. SETTING: Publicly funded psychiatric services in London and the North West of England. PARTICIPANTS: One hundred seventy-three patients with schizophrenia spectrum disorders, major depression, or late-onset schizophrenia-like psychosis, subdivided according to whether they were currently experiencing paranoid delusions. Sixty-four healthy control participants matched for appropriate demographic variables were included. MAIN OUTCOME MEASURES: Assessments of theory of mind, jumping to conclusions bias, and general intellectual functioning, with measures of threat anticipation, emotion, self-esteem, and explanatory style. RESULTS: The best fitting (chi(2)(96) = 131.69, P = .01; comparative fit index = 0.95; Tucker-Lewis Index = 0.96; root-mean-square error of approximation = 0.04) and most parsimonious model of the data indicated that paranoid delusions are associated with a combination of pessimistic thinking style (low self-esteem, pessimistic explanatory style, and negative emotion) and impaired cognitive performance (executive functioning, tendency to jump to conclusions, and ability to reason about the mental states of others). Pessimistic thinking correlated highly with paranoia even when controlling for cognitive performance (r = 0.65, P < .001), and cognitive performance correlated with paranoia when controlling for pessimism (r = -0.34, P < .001). CONCLUSIONS: Both cognitive and emotion-related processes are involved in paranoid delusions. Treatment for paranoid patients should address both types of processes.

Deception and false belief in paranoia: modelling theory of mind stories.

BACKGROUND: This study used Item Response Theory (IRT) to model the psychometric properties of a Theory of Mind (ToM) stories task. The study also aimed to determine whether the ability to understand states of false belief in others and the ability to understand another's intention to deceive are separable skills, and to establish which is more sensitive to the presence of paranoia. METHOD: A large and diverse clinical and nonclinical sample differing in levels of depression and paranoid ideation performed a ToM stories task measuring false belief and deception at first and second order. RESULTS: A three-factor IRT model was found to best fit the data, consisting of first- and second-order deception factors and a single false-belief factor. The first-order deception and false-belief factors had good measurement properties at low trait levels, appropriate for samples with reduced ToM ability. First-order deception and false beliefs were both sensitive to paranoid ideation with IQ predicting performance on false belief items. CONCLUSIONS: Separable abilities were found to underlie performance on verbal ToM tasks. However, paranoia was associated with impaired performance on both false belief and deception understanding with clear impairment at the simplest level of mental state attribution.